
Kaggle Notebooks
7.6#26 in coding playgroundsFree planFree planWebAPI
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| Fact | Kaggle Notebooks | Paperspace Gradient |
|---|---|---|
| Acquisition news | TechCrunch reported on March 8, 2017 that Google confirmed its acquisition of Kaggle and did not disclose deal terms. | Y Combinator records DigitalOcean’s acquisition of Paperspace for $111 million in cash on July 6, 2023. |
| API | Kaggle provides a command-line interface for interacting with the platform through terminal commands or shell scripts. | Paperspace provides a documented REST API with a unified endpoint schema and improved scalability; legacy Gradient and Core endpoints were deprecated. |
| CLI licence | The official Kaggle CLI is released under the Apache 2.0 licence. | The Gradient CLI is published as open source Python software under the OSI-approved ISC License. |
| Company founding | LinkedIn lists Kaggle as founded in 2010. | G2 lists Paperspace as serving customers since 2014. |
| Company legal name | Crunchbase lists the legal name as Kaggle Inc. | Crunchbase lists the legal name as Paperspace, Co. |
| Company ownership | Crunchbase identifies Kaggle as a Google sub-organization acquired by Google. | Paperspace is listed as acquired by DigitalOcean, and the company website now identifies Paperspace as doing business as DigitalOcean. |
| Compute | Users can add a free NVIDIA Tesla P100 GPU or TPU v3-8, subject to limited availability and possible queues. | The platform offers on-demand GPU and IPU instances, with per-second instance pricing described on its product page. |
| Documentation depth | Official documentation covers notebooks, packages, GPU usage, TPU usage, models, API access, benchmarks, scheduling, and Jupyter Server connections. | The documentation includes getting-started guides, how-to articles, concepts, reference material, limits, known issues, support pages, CLI references, and SDK/API examples. |
| Free plan | Yes | Yes |
| Purpose | Kaggle Notebooks is a cloud computational environment for reproducible and collaborative machine learning analysis. | Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models. |
It suits people working on machine learning analysis in Python or R who want a hosted notebook environment with reproducible versions. Users needing GPU or TPU resources should account for limited availability and queues.
Gradient is aimed at people and teams developing or serving machine learning models, including engineers, data scientists, researchers, and startups. Its browser notebooks, collaboration features, and deployment endpoints support different stages of model work.